Abstract Library

#4594 RNA splicing as a key regulatory player with translational potential in pulmonary neuroendocrine neoplasms (lungNETs)

Introduction: Neuroendocrine tumours (NETs) are a diverse group of neoplasms arising from neuroendocrine cells. Within this group, lung neuroendocrine tumours (LungNETs) represent one of the most frequent subtypes of NETs. LungNETs are classified by grade, according to their proliferative index and aggressiveness. Among them, typical carcinoids (G1) and atypical carcinoids (G2) are the lowest grade subtypes. While these tumours are less aggressive, they remain underexplored compared to higher-grade subtypes, highlighting the need for molecular studies to improve clinical approaches. In this context, previous studies have shown that abnormalities in the splicing machinery are frequent in tumour pathologies and also occur in LungNETs.

Conference:

Presenting Author:

Authors: Gutiérrez Camacho L, Ruiz-Palacios D, García Vioque V, González-Pérez C, Moreno Montilla M,

Keywords: splicing, neuroendocrine tumour, Lung NET, typical carcinoid, atypical carcinoid,

#4583 Improved assessment of gene rearrangements by targeting non-coding DNA regions in patients diagnosed with pancreatic neuroendocrine neoplasms

Introduction: Whole-genome sequencing projects documented the heterogeneity of pancreatic neuroendocrine neoplasms (PanNEN), while showing that few core pathways are consistently affected in their tumorigenesis. Comprehensive genomic profiling (CGP) of real-world cases is expected to recapitulate such heterogeneity for patient stratification and to inform precision therapy. While coding DNA is the focus of current CGP panels, the potential of targeting non-coding DNA (ncDNA) to improve structural variants detection has not been widely explored in this context.

Conference:

Presenting Author: Agnoletto C

Authors: Agnoletto C, Trevisani E, Borghesani M, Landoni L, Luchini C,

Keywords: neuroendocrine, non-coding DNAs, structural variants, clinical relevance, CGP panel,

#4580 Improving diagnosis of neuroendocrine tumours using large language models

Introduction: Neuroendocrine tumours (NETs) are a heterogeneous group of cancers that can be difficult to diagnose due to their variable clinical presentation and non-specific symptoms. Accurate diagnosis often requires integrating a wide range of clinical, radiological, and pathological information. Large language models (LLMs) have shown promise in processing and understanding complex medical text, making them a valuable tool for improving diagnostic accuracy in oncology.

Conference:

Presenting Author:

Authors: Tang Z, Chen P, Tang J, Li H, Chen Y,

Keywords: Neuroendocrine Tumour (NET), Large Language Model (LLM), Medical Natural Language Processing (NLP), Clinical Decision Support,

#4522 Leveraging large language models for enhanced diagnosis of neuroendocrine tumours

Introduction: Neuroendocrine tumours (NETs) are a heterogeneous group of cancers that are difficult to diagnose due to their variable clinical presentation and non-specific symptoms. Accurate diagnosis often requires integrating a wide range of clinical, radiological, and pathological information. However, clinicians may struggle to synthesise these diverse data sources effectively. Large language models (LLMs) have shown promise in processing and understanding complex medical text, making them a valuable tool for improving diagnostic accuracy in oncology.

Conference:

Presenting Author:

Authors: Tang Z, Tang J, Cheng F, Li H, Chen Y,

Keywords: Neuroendocrine Tumour (NET), Large Language Model (LLM), Medical Natural Language Processing (NLP), Clinical Decision Support,

#4441 Gastric neuroendocrine neoplasms in younger patients: A retrospective single-centre study

Introduction: Gastric neuroendocrine neoplasms (gNENs) are rare neoplasms arising from stomach enterochromaffin-like (ECL) cells. Type I gNENs are the most common type, typically indolent and arising in the context of chronic atrophic gastritis (CAG). While type I gNENs are generally diagnosed in pts over 50, their occurrence in younger pts raises concern about the onset of CAG-related complications at an earlier age, potentially affecting tumour growth and clinical outcomes. Young-oriented studies on type I gNETs are still lacking in literature.

Conference:

Presenting Author:

Authors: Romano E, Rinzivillo M, Marasco M, Dell' Unto E, Esposito G,

Keywords: Gastric neuroendocrine neoplasm, Young adults, Chronic Atrophic Gastritis,